AI drones are being used to autonomously target and kill targets by the Ukraine using technology they have been given. That's real. Right now. That that is happening anywhere on the planet scares me. That's why I keep asking about AI hallucinating, and it's implications when the stakes are life and death.
The "AIs" being used by these drones have little to do with ChatGPT at the moment. And you should be more worried about "AIs" that do aim at the intended target, anyways.
"hallucination" is a term specific to LLMs like ChatGPT and has virtually nothing to do with visual hallucinations.
It is conceivable that agentic edge LLMs are used for the logic of killer drones but I don't think we're there yet.
Machine learning in general does have classification errors so it may mistakenly see an enemy where there is a pile of rocks(right next to the children's hospital).
To the user of the drone, this represents an error rate and wasted munitions(unless they were planning on bombing the hospital later). So it is something they want to minimize.
Again, I'd be more worried about becoming a "legitimate" target to someone's killer drone than an accidental one.
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AI drones are being used to autonomously target and kill targets by the Ukraine using technology they have been given. That's real. Right now. That that is happening anywhere on the planet scares me. That's why I keep asking about AI hallucinating, and it's implications when the stakes are life and death.
The "AIs" being used by these drones have little to do with ChatGPT at the moment. And you should be more worried about "AIs" that do aim at the intended target, anyways.
I never said anything about ChatGPT.
And that AIs do aim at intended targets with intent to kill while simultaneously being susceptible to hallucinations is exactly what worries me.
"hallucination" is a term specific to LLMs like ChatGPT and has virtually nothing to do with visual hallucinations.
It is conceivable that agentic edge LLMs are used for the logic of killer drones but I don't think we're there yet.
Machine learning in general does have classification errors so it may mistakenly see an enemy where there is a pile of rocks(right next to the children's hospital).
To the user of the drone, this represents an error rate and wasted munitions(unless they were planning on bombing the hospital later). So it is something they want to minimize.
Again, I'd be more worried about becoming a "legitimate" target to someone's killer drone than an accidental one.
It’s a different type of AI. LLMs hallucinate because of their structure — computer vision and algos don’t in the same way